{"id":"W4253330120","doi":"10.33772/jpmit.v2i2.14926","title":"Sosialisasi Sistem Informasi Orang Dalam Pengawasan (ODP) di Kota Kendari","year":2020,"lang":"id","type":"article","venue":"Jurnal Pengabdian Masyarakat Ilmu Terapan (JPMIT)","topic":"COVID-19 Prevention and Impact","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"WiLAN (Canada)","funders":"","keywords":"Humanities; Art","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002612481,0.0009319506,0.0006559454,0.002143449,0.002318437,0.01049802,0.001055878,0.001157591,0.04196847],"category_scores_gemma":[0.006183107,0.0007210888,0.0006938931,0.002168915,0.001642072,0.006271967,0.00462769,0.002221665,0.01914635],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002334405,"about_ca_system_score_gemma":0.005237853,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01081745,"about_ca_topic_score_gemma":0.01226781,"domain_scores_codex":[0.997463,0.0004927494,0.0002504476,0.0005182856,0.0009632764,0.0003122896],"domain_scores_gemma":[0.9941348,0.001597492,0.0003927638,0.001375454,0.001923359,0.0005761594],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006133929,0.0003705547,0.02339801,0.001590964,0.0002136592,0.001755687,0.01040414,0.00425639,0.02446828,0.202764,0.07707227,0.6530926],"study_design_scores_gemma":[0.00003868256,0.0001768934,0.01238416,0.0004113551,0.0001229537,0.0007741714,0.004119253,0.004589538,0.01202162,0.03244001,0.9327847,0.0001365112],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1116993,0.008102628,0.1474697,0.01640563,0.00216785,0.0007930491,0.006351325,0.01121316,0.6957973],"genre_scores_gemma":[0.5602591,0.007510451,0.05887325,0.001488964,0.0006060078,0.0004254365,0.005357991,0.001697407,0.3637814],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04196847,"threshold_uncertainty_score":0.1403985,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05052623228062661,"score_gpt":0.3197201639147954,"score_spread":0.2691939316341688,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}